Franco Maria Nardini

ORCID

Publication Activity (10 Years)

Years Active: 2008-2024
Publications (10 Years): 108

Top Venues

SIGIR

CoRR

IIR

ACM Trans. Inf. Syst.

Publications

Franco Maria Nardini, Cosimo Rulli, Rossano Venturini
Efficient Multi-vector Dense Retrieval with Bit Vectors. ECIR (2) (2024)
Sebastian Bruch, Franco Maria Nardini, Amir Ingber, Edo Liberty
An Approximate Algorithm for Maximum Inner Product Search over Streaming Sparse Vectors. ACM Trans. Inf. Syst. 42 (2) (2024)
Maik Fröbe, Joel Mackenzie, Bhaskar Mitra, Franco Maria Nardini, Martin Potthast
ReNeuIR at SIGIR 2024: The Third Workshop on Reaching Efficiency in Neural Information Retrieval. SIGIR (2024)
Thomas Vecchiato, Claudio Lucchese, Franco Maria Nardini, Sebastian Bruch
A Learning-to-Rank Formulation of Clustering-Based Approximate Nearest Neighbor Search. SIGIR (2024)
Sebastian Bruch, Franco Maria Nardini, Cosimo Rulli, Rossano Venturini
Efficient Inverted Indexes for Approximate Retrieval over Learned Sparse Representations. CoRR (2024)
Sebastian Bruch, Aditya Krishnan, Franco Maria Nardini
Optimistic Query Routing in Clustering-based Approximate Maximum Inner Product Search. CoRR (2024)
Guido Rocchietti, Cristina Ioana Muntean, Franco Maria Nardini
Enhancing Conversational Search with Large Language Models. ERCIM News 2024 (136) (2024)
Franco Maria Nardini, Cosimo Rulli, Rossano Venturini
Efficient Multi-Vector Dense Retrieval Using Bit Vectors. CoRR (2024)
Franco Maria Nardini, Cosimo Rulli, Rossano Venturini
Efficient and Effective Multi-Vector Dense Retrieval with EMVB. SEBD (2024)
Thomas Vecchiato, Claudio Lucchese, Franco Maria Nardini, Sebastian Bruch
A Learning-to-Rank Formulation of Clustering-Based Approximate Nearest Neighbor Search. CoRR (2024)
Franco Maria Nardini, Cosimo Rulli, Salvatore Trani, Rossano Venturini
Distilled Neural Networks for Efficient Learning to Rank: (Extended Abstract). ICDE (2024)
Sebastian Bruch, Claudio Lucchese, Maria Maistro, Franco Maria Nardini
Special Section on Efficiency in Neural Information Retrieval. ACM Trans. Inf. Syst. 42 (5) (2024)
Sebastian Bruch, Franco Maria Nardini, Cosimo Rulli, Rossano Venturini
Efficient Inverted Indexes for Approximate Retrieval over Learned Sparse Representations. SIGIR (2024)
Francesco Busolin, Claudio Lucchese, Franco Maria Nardini, Salvatore Orlando, Raffaele Perego, Salvatore Trani
Early Exit Strategies for Learning-to-Rank Cascades. IEEE Access 11 (2023)
Franco Maria Nardini, Cosimo Rulli, Salvatore Trani, Rossano Venturini
Neural Network Compression using Binarization and Few Full-Precision Weights. CoRR (2023)
Elnara Galimzhanova, Cristina Ioana Muntean, Franco Maria Nardini, Raffaele Perego, Guido Rocchietti
Rewriting Conversational Utterances with Instructed Large Language Models. WI/IAT (2023)
Sebastian Bruch, Claudio Lucchese, Franco Maria Nardini
Efficient and Effective Tree-based and Neural Learning to Rank. CoRR (2023)
Sebastian Bruch, Franco Maria Nardini, Amir Ingber, Edo Liberty
Bridging Dense and Sparse Maximum Inner Product Search. CoRR (2023)
Guido Rocchietti, Ophir Frieder, Cristina Ioana Muntean, Franco Maria Nardini, Raffaele Perego
Commonsense Injection in Conversational Systems: An Adaptable Framework for Query Expansion. WI/IAT (2023)
Vincenzo Paparella, Vito Walter Anelli, Franco Maria Nardini, Raffaele Perego, Tommaso Di Noia
Post-hoc Selection of Pareto-Optimal Solutions in Search and Recommendation. CIKM (2023)
Sebastian Bruch, Claudio Lucchese, Franco Maria Nardini
Efficient and Effective Tree-based and Neural Learning to Rank. Found. Trends Inf. Retr. 17 (1) (2023)
Guglielmo Faggioli, Antonio Ferrara, Franco Maria Nardini, Nicola Tonellotto
Report on the 13th Italian Information Retrieval Workshop (IIR 2023). SIGIR Forum 57 (2) (2023)
Franco Maria Nardini, Cosimo Rulli, Salvatore Trani, Rossano Venturini
Distilled Neural Networks for Efficient Learning to Rank. IEEE Trans. Knowl. Data Eng. 35 (5) (2023)
Sebastian Bruch, Joel Mackenzie, Maria Maistro, Franco Maria Nardini
ReNeuIR at SIGIR 2023: The Second Workshop on Reaching Efficiency in Neural Information Retrieval. SIGIR (2023)
Sebastian Bruch, Franco Maria Nardini, Amir Ingber, Edo Liberty
An Approximate Algorithm for Maximum Inner Product Search over Streaming Sparse Vectors. CoRR (2023)
Vincenzo Paparella, Vito Walter Anelli, Franco Maria Nardini, Raffaele Perego, Tommaso Di Noia
Post-hoc Selection of Pareto-Optimal Solutions in Search and Recommendation. CoRR (2023)
Lorenzo Beretta, Franco Maria Nardini, Roberto Trani, Rossano Venturini
An Optimal Algorithm for Finding Champions in Tournament Graphs. IEEE Trans. Knowl. Data Eng. 35 (10) (2023)
Claudio Lucchese, Giorgia Minello, Franco Maria Nardini, Salvatore Orlando, Raffaele Perego, Alberto Veneri
Can Embeddings Analysis Explain Large Language Model Ranking? CIKM (2023)
Veronica Gil-Costa, Fernando Loor, Romina Molina, Franco Maria Nardini, Raffaele Perego, Salvatore Trani
Energy-Efficient Ranking on FPGAs through Ensemble Model Compression (Abstract). IIR (2022)
Franco Maria Nardini, Roberto Trani, Rossano Venturini
Fast Filtering of Search Results Sorted by Attribute. ACM Trans. Inf. Syst. 40 (2) (2022)
Claudio Lucchese, Franco Maria Nardini, Salvatore Orlando, Raffaele Perego, Alberto Veneri
ILMART: Interpretable Ranking with Constrained LambdaMART. CoRR (2022)
Domenico Dato, Sean MacAvaney, Franco Maria Nardini, Raffaele Perego, Nicola Tonellotto
The Istella22 Dataset: Bridging Traditional and Neural Learning to Rank Evaluation. SIGIR (2022)
Ida Mele, Cristina Ioana Muntean, Franco Maria Nardini, Raffaele Perego, Nicola Tonellotto
Context Propagation in Conversational Search Utterances Participation of the CNR Team in CAsT 2022. TREC (2022)
Sebastian Bruch, Claudio Lucchese, Franco Maria Nardini
Report on the 1st Workshop on Reaching Efficiency in Neural Information Retrieval (ReNeuIR 2022) at SIGIR 2022. SIGIR Forum 56 (2) (2022)
Franco Maria Nardini, Salvatore Trani
A Pragmatic Approach to Neural Information Retrieval. SEBD (2022)
Lorenzo Valerio, Franco Maria Nardini, Andrea Passarella, Raffaele Perego
Dynamic hard pruning of Neural Networks at the edge of the internet. J. Netw. Comput. Appl. 200 (2022)
Domenico Dato, Sean MacAvaney, Franco Maria Nardini, Raffaele Perego, Nicola Tonellotto
A Comprehensive Dataset for Modern Learning to Rank Solutions (Abstract). IIR (2022)
Claudio Lucchese, Franco Maria Nardini, Salvatore Orlando, Raffaele Perego, Alberto Veneri
Interpretable Ranking Using LambdaMART (Abstract). IIR (2022)
Ophir Frieder, Ida Mele, Cristina Ioana Muntean, Franco Maria Nardini, Raffaele Perego, Nicola Tonellotto
Caching Historical Embeddings in Conversational Search. CoRR (2022)
Veronica Gil-Costa, Fernando Loor, Romina Molina, Franco Maria Nardini, Raffaele Perego, Salvatore Trani
Ensemble Model Compression for Fast and Energy-Efficient Ranking on FPGAs. ECIR (1) (2022)
Claudio Lucchese, Franco Maria Nardini, Salvatore Orlando, Raffaele Perego, Alberto Veneri
ILMART: Interpretable Ranking with Constrained LambdaMART. SIGIR (2022)
Franco Maria Nardini, C. Rulli, Salvatore Trani, Rossano Venturini
Distilled Neural Networks for Efficient Learning to Rank. CoRR (2022)
Sebastian Bruch, Claudio Lucchese, Franco Maria Nardini
ReNeuIR: Reaching Efficiency in Neural Information Retrieval. SIGIR (2022)
Andrea Bruno, Franco Maria Nardini, Giulio Ermanno Pibiri, Roberto Trani, Rossano Venturini
TSXor: A Simple Time Series Compression Algorithm. SPIRE (2021)
Cristina Ioana Muntean, Franco Maria Nardini, Raffaele Perego, Nicola Tonellotto, Ophir Frieder
Weighting Passages Enhances Accuracy. ACM Trans. Inf. Syst. 39 (2) (2021)
Francesco Busolin, Claudio Lucchese, Franco Maria Nardini, Salvatore Orlando, Raffaele Perego, Salvatore Trani
Learning Early Exit Strategies for Additive Ranking Ensembles. SIGIR (2021)
Lorenzo Beretta, Franco Maria Nardini, Roberto Trani, Rossano Venturini
An Optimal Algorithm for Finding Champions in Tournament Graphs. CoRR (2021)
Romina Molina, Fernando Loor, Veronica Gil-Costa, Franco Maria Nardini, Raffaele Perego, Salvatore Trani
Efficient traversal of decision tree ensembles with FPGAs. J. Parallel Distributed Comput. 155 (2021)
Francesco Busolin, Claudio Lucchese, Franco Maria Nardini, Salvatore Orlando, Raffaele Perego, Salvatore Trani
Learning Early Exit Strategies for Additive Ranking Ensembles. CoRR (2021)
Regis Pires Magalhães, Francesco Lettich, José Antônio Fernandes de Macêdo, Franco Maria Nardini, Raffaele Perego, Chiara Renso, Roberto Trani
Speed prediction in large and dynamic traffic sensor networks. Inf. Syst. 98 (2021)
Leopoldo Melo Junior, José Antônio Fernandes de Macêdo, Franco Maria Nardini, Chiara Renso
RMkNN and KNORA-IU: Combining Imbalanced Dynamic Selection Techniques for Credit Scoring. ICTAI (2021)
Nicola Tonellotto, Alberto Gotta, Franco Maria Nardini, Daniele Gadler, Fabrizio Silvestri
Neural network quantization in federated learning at the edge. Inf. Sci. 575 (2021)
Ida Mele, Cristina Ioana Muntean, Franco Maria Nardini, Raffaele Perego, Nicola Tonellotto
Finding Context through Utterance Dependencies in Search Conversations - Participation of the CNR Team in CAsT 2021. TREC (2021)
Ida Mele, Cristina Ioana Muntean, Franco Maria Nardini, Raffaele Perego, Nicola Tonellotto, Ophir Frieder
Adaptive utterance rewriting for conversational search. Inf. Process. Manag. 58 (6) (2021)
Francesca Naretto, Roberto Pellungrini, Franco Maria Nardini, Fosca Giannotti
Prediction and Explanation of Privacy Risk on Mobility Data with Neural Networks. PKDD/ECML Workshops (2020)
Ida Mele, Cristina Ioana Muntean, Franco Maria Nardini, Raffaele Perego, Nicola Tonellotto, Ophir Frieder
Topic Propagation in Conversational Search. SIGIR (2020)
Ida Mele, Cristina Ioana Muntean, Franco Maria Nardini, Raffaele Perego, Nicola Tonellotto
Topical Enrichment of Conversational Search Utterances: Participation of the HPCLab-CNR Team in CAsT 2020. TREC (2020)
Sean MacAvaney, Franco Maria Nardini, Raffaele Perego, Nicola Tonellotto, Nazli Goharian, Ophir Frieder
Efficient Document Re-Ranking for Transformers by Precomputing Term Representations. CoRR (2020)
Leopoldo Melo Junior, Franco Maria Nardini, Chiara Renso, Roberto Trani, José Antônio Fernandes de Macêdo
A novel approach to define the local region of dynamic selection techniques in imbalanced credit scoring problems. Expert Syst. Appl. 152 (2020)
Sean MacAvaney, Franco Maria Nardini, Raffaele Perego, Nicola Tonellotto, Nazli Goharian, Ophir Frieder
Training Curricula for Open Domain Answer Re-Ranking. CoRR (2020)
Sean MacAvaney, Franco Maria Nardini, Raffaele Perego, Nicola Tonellotto, Nazli Goharian, Ophir Frieder
Training Curricula for Open Domain Answer Re-Ranking. SIGIR (2020)
Francesca Naretto, Roberto Pellungrini, Anna Monreale, Franco Maria Nardini, Mirco Musolesi
Predicting and Explaining Privacy Risk Exposure in Mobility Data. DS (2020)
Lorenzo Valerio, Franco Maria Nardini, Andrea Passarella, Raffaele Perego
Dynamic Hard Pruning of Neural Networks at the Edge of the Internet. CoRR (2020)
Claudio Lucchese, Franco Maria Nardini, Salvatore Orlando, Raffaele Perego, Salvatore Trani
Query-level Early Exit for Additive Learning-to-Rank Ensembles. SIGIR (2020)
Shima Moghtasedi, Cristina Ioana Muntean, Franco Maria Nardini, Roberto Grossi, Andrea Marino
High-Quality Prediction of Tourist Movements using Temporal Trajectories in Graphs. ASONAM (2020)
Claudio Lucchese, Franco Maria Nardini, Salvatore Orlando, Raffaele Perego, Salvatore Trani
Query-level Early Exit for Additive Learning-to-Rank Ensembles. CoRR (2020)
Hanna Kavalionak, Massimo Tosato, Paolo Barsocchi, Franco Maria Nardini
Dynamic Wi-Fi RSSI normalization in unmapped locations. EDBT/ICDT Workshops (2020)
Sean MacAvaney, Franco Maria Nardini, Raffaele Perego, Nicola Tonellotto, Nazli Goharian, Ophir Frieder
Efficient Document Re-Ranking for Transformers by Precomputing Term Representations. SIGIR (2020)
Sean MacAvaney, Franco Maria Nardini, Raffaele Perego, Nicola Tonellotto, Nazli Goharian, Ophir Frieder
Expansion via Prediction of Importance with Contextualization. SIGIR (2020)
Sean MacAvaney, Franco Maria Nardini, Raffaele Perego, Nicola Tonellotto, Nazli Goharian, Ophir Frieder
Expansion via Prediction of Importance with Contextualization. CoRR (2020)
Ida Mele, Cristina Ioana Muntean, Franco Maria Nardini, Raffaele Perego, Nicola Tonellotto, Ophir Frieder
Topic Propagation in Conversational Search. CoRR (2020)
Tales Matos, José A. F. de Macêdo, Francesco Lettich, José Maria Monteiro, Chiara Renso, Raffaele Perego, Franco Maria Nardini
Leveraging feature selection to detect potential tax fraudsters. Expert Syst. Appl. 145 (2020)
Claudio Lucchese, Cristina Ioana Muntean, Franco Maria Nardini, Raffaele Perego, Salvatore Trani
RankEval: Evaluation and investigation of ranking models. SoftwareX 12 (2020)
Leopoldo Soares de Melo Junior, Franco Maria Nardini, Chiara Renso, José Antônio Fernandes de Macêdo
An Empirical Comparison of Classification Algorithms for Imbalanced Credit Scoring Datasets. ICMLA (2019)
Lorenzo Beretta, Franco Maria Nardini, Roberto Trani, Rossano Venturini
An Optimal Algorithm to Find Champions of Tournament Graphs. SPIRE (2019)
Matteo Catena, Ophir Frieder, Cristina Ioana Muntean, Franco Maria Nardini, Raffaele Perego, Nicola Tonellotto
Enhanced News Retrieval: Passages Lead the Way! SIGIR (2019)
Francesco Lettich, Claudio Lucchese, Franco Maria Nardini, Salvatore Orlando, Raffaele Perego, Nicola Tonellotto, Rossano Venturini
Parallel Traversal of Large Ensembles of Decision Trees. IEEE Trans. Parallel Distributed Syst. 30 (9) (2019)
Leopoldo Melo Junior, Franco Maria Nardini, Chiara Renso, José Antônio Fernandes de Macêdo
On combining dynamic selection, sampling, and pool generators for credit scoring. MLDM (2) (2019)
Leopoldo Melo Junior, Franco Maria Nardini, Chiara Renso, José A. F. de Macêdo
KNORA-IU: Improving the Dynamic Selection Prediction in Imbalanced Credit Scoring Problems. ICTAI (2019)
Claudio Lucchese, Franco Maria Nardini, Rama Kumar Pasumarthi, Sebastian Bruch, Michael Bendersky, Xuanhui Wang, Harrie Oosterhuis, Rolf Jagerman, Maarten de Rijke
Learning to Rank in Theory and Practice: From Gradient Boosting to Neural Networks and Unbiased Learning. SIGIR (2019)
Franco Maria Nardini, Roberto Trani, Rossano Venturini
Fast Approximate Filtering of Search Results Sorted by Attribute. SIGIR (2019)
Claudio Lucchese, Franco Maria Nardini, Raffaele Perego, Roberto Trani, Rossano Venturini
Efficient and Effective Query Expansion for Web Search. CIKM (2018)
Daniel Valcarce, Igo Ramalho Brilhante, José A. F. de Macêdo, Franco Maria Nardini, Raffaele Perego, Chiara Renso
Item-driven group formation. Online Soc. Networks Media 8 (2018)
Claudio Lucchese, Franco Maria Nardini, Salvatore Orlando, Raffaele Perego, Fabrizio Silvestri, Salvatore Trani
X-CLEaVER: Learning Ranking Ensembles by Growing and Pruning Trees. ACM Trans. Intell. Syst. Technol. 9 (6) (2018)
Claudio Lucchese, Franco Maria Nardini, Raffaele Perego, Salvatore Orlando, Salvatore Trani
Selective Gradient Boosting for Effective Learning to Rank. SIGIR (2018)
Claudio Lucchese, Franco Maria Nardini, Raffaele Perego, Salvatore Trani
The Impact of Negative Samples on Learning to Rank. LEARNER@ICTIR (2017)
Mauro Coletto, Andrea Esuli, Claudio Lucchese, Cristina Ioana Muntean, Franco Maria Nardini, Raffaele Perego, Chiara Renso
Perception of social phenomena through the multidimensional analysis of online social networks. Online Soc. Networks Media 1 (2017)
Claudio Lucchese, Franco Maria Nardini, Salvatore Orlando, Raffaele Perego, Nicola Tonellotto, Rossano Venturini
QuickScorer: Efficient Traversal of Large Ensembles of Decision Trees. ECML/PKDD (3) (2017)
Claudio Lucchese, Cristina Ioana Muntean, Franco Maria Nardini, Raffaele Perego, Salvatore Trani
RankEval: An Evaluation and Analysis Framework for Learning-to-Rank Solutions. SIGIR (2017)
Francesco Lettich, Claudio Lucchese, Franco Maria Nardini, Salvatore Orlando, Raffaele Perego, Nicola Tonellotto, Rossano Venturini
Multicore/Manycore Parallel Traversal of Large Forests of Regression Trees. HPCS (2017)
Claudio Lucchese, Franco Maria Nardini, Salvatore Orlando, Raffaele Perego, Salvatore Trani
X-DART: Blending Dropout and Pruning for Efficient Learning to Rank. SIGIR (2017)
Claudio Lucchese, Franco Maria Nardini
Efficiency/Effectiveness Trade-offs in Learning to Rank. ICTIR (2017)
Francesco Lettich, Claudio Lucchese, Franco Maria Nardini, Salvatore Orlando, Raffaele Perego, Nicola Tonellotto, Rossano Venturini
GPU-based Parallelization of QuickScorer to Speed-up Document Ranking with Tree Ensembles. IIR (2016)
Mauro Coletto, Andrea Esuli, Claudio Lucchese, Cristina Ioana Muntean, Franco Maria Nardini, Raffaele Perego, Chiara Renso
Sentiment-enhanced multidimensional analysis of online social networks: Perception of the mediterranean refugees crisis. ASONAM (2016)
Gabriele Capannini, Claudio Lucchese, Franco Maria Nardini, Salvatore Orlando, Raffaele Perego, Nicola Tonellotto
Quality versus efficiency in document scoring with learning-to-rank models. Inf. Process. Manag. 52 (6) (2016)
Claudio Lucchese, Franco Maria Nardini, Salvatore Orlando, Raffaele Perego, Fabrizio Silvestri, Salvatore Trani
Post-Learning Optimization of Tree Ensembles. IIR (2016)
Claudio Lucchese, Franco Maria Nardini, Salvatore Orlando, Raffaele Perego, Fabrizio Silvestri, Salvatore Trani
Post-Learning Optimization of Tree Ensembles for Efficient Ranking. SIGIR (2016)
Domenico Dato, Claudio Lucchese, Franco Maria Nardini, Salvatore Orlando, Raffaele Perego, Nicola Tonellotto, Rossano Venturini
Fast Ranking with Additive Ensembles of Oblivious and Non-Oblivious Regression Trees. ACM Trans. Inf. Syst. 35 (2) (2016)
Chiara Renso, José Antônio Fernandes de Macêdo, Franco Maria Nardini, Raffaele Perego, Igo Ramalho Brilhante
User-Item Group Formation with GroupFinder. IIR (2016)
Claudio Lucchese, Franco Maria Nardini, Salvatore Orlando, Gabriele Tolomei
Learning to Rank User Queries to Detect Search Tasks. ICTIR (2016)

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Publication Activity (10 Years)

Top Topics

Top Venues

Franco Maria Nardini